Cutaneous leishmaniasis (CL) is a disease transmitted by mosquitoes and is endemic in many regions of the world and Iran, and annually imposes a large burden on the health system. This study was conducted to identify the effective factors in the preventive behaviors of CL based on the BASNEF model in endemic areas in the northwest of Iran. This cross-sectional study was conducted in Bileh-Savar, 'endemic areas of Ardabil Province, Iran', from June 2022 to October 2022. 200 non-patients were included in the study by a multi-stage sampling method. A standard questionnaire based on the BASNEF model was applied for data collection. The data were analyzed using SPSS version 25. Means and standard deviations were calculated to describe the continuous variables, and multivariate linear regression analysis was used to determine the prediction of intention and behavior by the model structures. The BASNEF constructs predict 27% of behavioral intention changes. Among the constructs, attitude has a greater contribution in predicting changes (R = 0.27, p < 0.01). Also, the results showed that the BASNEF constructs predict 23% of behavior changes. Among the constructs, enabling factors have a greater contribution to predicting changes (R = 0.23, p < 0.01). This finding shows that behavior is more influenced by environmental factors, and educational interventions based on behavior change models, along with providing environmental conditions, can facilitate behavior change.
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http://dx.doi.org/10.1038/s41598-024-64600-9 | DOI Listing |
Sci Rep
July 2024
Medicinal Plants Research Center, Maragheh University of Medical Sciences, Maragheh, Iran.
Sci Rep
June 2024
Medicinal Plants Research Center, Maragheh University of Medical Sciences, Maragheh, Iran.
Cutaneous leishmaniasis (CL) is a disease transmitted by mosquitoes and is endemic in many regions of the world and Iran, and annually imposes a large burden on the health system. This study was conducted to identify the effective factors in the preventive behaviors of CL based on the BASNEF model in endemic areas in the northwest of Iran. This cross-sectional study was conducted in Bileh-Savar, 'endemic areas of Ardabil Province, Iran', from June 2022 to October 2022.
View Article and Find Full Text PDFBMC Infect Dis
January 2024
Department of Public Health, School of Public Health and Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, IR, Iran.
Background: Vaccination is a primary prevention approach to preventing disease by disconnecting the transmission chain. The current study utilized a BASNEF model framework to identify factors influencing subsequent doses of COVID-19 vaccination among older adults.
Methods: This cross-sectional study was performed in the west of Iran in May 2022.
Iran J Nurs Midwifery Res
November 2022
Department of Community Health Nursing, Faculty of Nursing, Assiut University, Egypt.
Background: Gestational diabetes is a widespread pregnancy-related health problem. Its associated complications can be minimized by empowering women to enhance their self-care behavior. This study aimed to evaluate the effect of an educational intervention using the Beliefs, Attitudes, Subjective Norms, and Enabling Factors (BASNEF) model on Gestational Diabetes Self-Care Behaviors (GD-SCB) among gestational diabetic woman.
View Article and Find Full Text PDFReprod Health
September 2022
Mother and Child Welfare Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Purpose Of Study: The high mortality rate of cervical cancer in developing countries is mainly related to inefficient screening programs. The aim of the present study was, thus, to determine the effect of an educational intervention based on BASNEF (Belief, Attitudes, Subjective Norms, and Enabling Factors) model on increasing the rate of cervical cancer screening (CCS) in Bandar Deir in the south of Iran.
Methods: A quasi-experimental educational intervention was made with 202 women participants (101 in the intervention group (IG) and 101 in the control group (CG)) in 2019-20.
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